Møller, C., Garza-Villarreal, E. A., Hansen, N. C., Højlund, A., Bærentsen, K. B., Chakravarty, M. M.
& Vuust, P. (2021).
Audiovisual structural connectivity in musicians and non-musicians: a cortical thickness and diffusion tensor imaging study.
Scientific Reports,
11(1), [4324].
https://doi.org/10.1038/s41598-021-83135-x
Stefaniak, J. D., Lambon Ralph, M. A., De Dios Perez, B., Griffiths, T. D.
& Grube, M. (2021).
Auditory beat perception is related to speech output fluency in post-stroke aphasia.
Scientific Reports,
11, [3168].
https://doi.org/10.1038/s41598-021-82809-w
Pando-Naude, V., Toxto, S., Fernandez-Lozano, S.
, Parsons, C. E., Alcauter, S.
& Garza-Villarreal, E. A. (2021).
Gray and white matter morphology in substance use disorders: a neuroimaging systematic review and meta-analysis.
Translational Psychiatry,
11(1), [29].
https://doi.org/10.1038/s41398-020-01128-2
Signorelli, C. M., Uhrig, L.
, Kringelbach, M., Jarraya, B. & Deco, G. (2021).
Hierarchical disruption in the cortex of anesthetized monkeys as a new signature of consciousness loss.
NeuroImage,
227, [117618].
https://doi.org/10.1016/j.neuroimage.2020.117618
Jobst, B. M., Atasoy, S., Ponce-Alvarez, A., Sanjuán, A., Roseman, L., Kaelen, M., Carhart-Harris, R.
, Kringelbach, M. L. & Deco, G. (2021).
Increased sensitivity to strong perturbations in a whole-brain model of LSD.
NeuroImage,
230, [117809].
https://doi.org/10.1016/j.neuroimage.2021.117809
Politimou, N., Douglass-Kirk, P.
, Pearce, M., Stewart, L. & Franco, F. (2021).
Melodic expectations in 5- and 6-year-old children.
Journal of Experimental Child Psychology,
203, [105020].
https://doi.org/10.1016/j.jecp.2020.105020
Lumaca, M., Dietz, M., Hansen, N. C., Quiroga Martinez, D. R. & Vuust, P. (2021).
Perceptual learning of tone patterns changes the effective connectivity between Heschl's gyrus and planum temporale.
Human Brain Mapping,
42(4), 941-952.
https://doi.org/10.1002/hbm.25269
Coelho, A.
, Fernandes, H. M., Magalhães, R., Moreira, P. S., Marques, P., Soares, J. M., Amorim, L., Portugal-Nunes, C., Castanho, T., Santos, N. C. & Sousa, N. (2021).
Signatures of white-matter microstructure degradation during aging and its association with cognitive status.
Scientific Reports,
11(1), [4517].
https://doi.org/10.1038/s41598-021-83983-7
Heggli, O. A., Konvalinka, I.
, Cabral, J., Brattico, E., Kringelbach, M. & Vuust, P. (2021).
Transient brain networks underlying interpersonal strategies during synchronized action.
Social Cognitive and Affective Neuroscience,
16(1-2), 19-30.
https://doi.org/10.1093/scan/nsaa056
Clemente, A., Vila-Vidal, M.
, Pearce, M. T., Aguiló, G., Corradi, G. & Nadal, M. (2020).
A Set of 200 Musical Stimuli Varying in Balance, Contour, Symmetry, and Complexity: Behavioral and Computational Assessments.
Behavior Research Methods,
52(4), 1491-1509.
https://doi.org/10.3758/s13428-019-01329-8
Witek, M. A. G., Liu, J., Kuubertzie, J., Yankyera, A. P., Adzei, S.
& Vuust, P. (2020).
A critical cross-cultural study of sensorimotor and groove responses to syncopation among Ghanaian and American university students and staff.
Music Perception,
37(4), 278-297.
https://doi.org/10.1525/MP.2020.37.4.278
Trusbak Haumann, N., Hansen, B., Huotilainen, M.
, Vuust, P. & Brattico, E. (2020).
Applying stochastic spike train theory for high-accuracy human MEG/EEG.
Journal of Neuroscience Methods,
340, [108743].
https://doi.org/10.1016/j.jneumeth.2020.108743
Zioga, I., Harrison, P. M. C.
, Pearce, M. T., Bhattacharya, J. & Luft, C. D. B. (2020).
Auditory but not audiovisual cues lead to higher neural sensitivity to the statistical regularities of an unfamiliar musical style.
Journal of Cognitive Neuroscience,
32(12), 2241-2259.
https://doi.org/10.1162/jocn_a_01614
Padilla, N., Saenger, V. M.
, van Hartevelt, T. J., Fernandes, H. M., Lennartsson, F., Andersson, J. L. R.
, Kringelbach, M., Deco, G. & Åden, U. (2020).
Breakdown of Whole-brain Dynamics in Preterm-born Children.
Cerebral Cortex,
30(3), 1159-1170.
https://doi.org/10.1093/cercor/bhz156
Perl, Y. S., Pallavicini, C., Ipiña, I. P.
, Kringelbach, M., Deco, G., Laufs, H. & Tagliazucchi, E. (2020).
Data augmentation based on dynamical systems for the classification of brain states.
Chaos, Solitons and Fractals,
139, [110069].
https://doi.org/10.1016/j.chaos.2020.110069
Quiroga Martinez, D. R., Hansen, N. C., Højlund, A., Pearce, M., Brattico, E. & Vuust, P. (2020).
Decomposing neural responses to melodic surprise in musicians and non-musicians: evidence for a hierarchy of predictions in the auditory system.
NeuroImage,
215, [116816].
https://doi.org/10.1016/j.neuroimage.2020.116816
Moorthigari, V., Carlson, E., Toiviainen, P.
, Brattico, E. & Alluri, V. (2020).
Differential Effects of Trait Empathy on Functional Network Centrality. In M. Mahmud, S. Vassanelli, M. S. Kaiser & N. Zhong (Eds.),
Brain informatics (pp. 107-117). Springer. Lecture Notes in Computer Science Vol. 12241
https://doi.org/10.1007/978-3-030-59277-6_10
Kringelbach, M. L., Cruzat, J.
, Cabral, J., Knudsen, G. M., Carhart-Harris, R., Whybrow, P. C., Logothetis, N. K. & Deco, G. (2020).
Dynamic coupling of whole-brain neuronal and neurotransmitter systems.
Proceedings of the National Academy of Sciences of the United States of America,
117(17), 9566-9576.
https://doi.org/10.1073/pnas.1921475117
Zioga, I., Harrison, P. M. C.
, Pearce, M. T., Bhattacharya, J. & Di Bernardi Luft, C. (2020).
From learning to creativity: Identifying the behavioural and neural correlates of learning to predict human judgements of musical creativity.
NeuroImage,
206, [116311].
https://doi.org/10.1016/j.neuroimage.2019.116311
Vohryzek, J., Deco, G., Cessac, B.
, Kringelbach, M. L. & Cabral, J. (2020).
Ghost Attractors in Spontaneous Brain Activity: Recurrent Excursions Into Functionally-Relevant BOLD Phase-Locking States.
Frontiers in Systems Neuroscience,
14, [20].
https://doi.org/10.3389/fnsys.2020.00020
Kaasgaard, M., Andersen, I. C., Rasmussen, D. B.
, Hilberg, O., Løkke, A.
, Vuust, P. & Bodtger, U. (2020).
Heterogeneity in Danish lung choirs and their singing leaders: delivery, approach, and experiences: a survey-based study.
BMJ Open,
10(11), [e041700].
https://doi.org/10.1136/bmjopen-2020-041700
Hallett, M., de Haan, W., Deco, G., Dengler, R., Di Iorio, R., Gallea, C., Gerloff, C., Grefkes, C., Helmich, R. C.
, Kringelbach, M. L., Miraglia, F., Rektor, I., Strýček, O., Vecchio, F., Volz, L. J., Wu, T. & Rossini, P. M. (2020).
Human brain connectivity: Clinical applications for clinical neurophysiology.
Clinical Neurophysiology,
131(7), 1621-1651.
https://doi.org/10.1016/j.clinph.2020.03.031
Fasano, M. C., Glerean, E., Gold, B. P., Sheng, D., Sams, M.
, Vuust, P., Rauschecker, J. P.
& Brattico, E. (2020).
Inter-subject Similarity of Brain Activity in Expert Musicians After Multimodal Learning: A Behavioral and Neuroimaging Study on Learning to Play a Piano Sonata.
Neuroscience,
441, 102-116.
https://doi.org/10.1016/j.neuroscience.2020.06.015
Schiavio, A.
, Stupacher, J., Parncutt, R. & Timmers, R. (2020).
Learning Music From Each Other: Synchronization, Turn-taking, or Imitation? Music Perception,
37(5), 403-422.
https://doi.org/10.1525/mp.2020.37.5.403
Ipiña, I. P., Kehoe, P. D.
, Kringelbach, M., Laufs, H., Ibañez, A., Deco, G., Perl, Y. S. & Tagliazucchi, E. (2020).
Modeling regional changes in dynamic stability during sleep and wakefulness.
NeuroImage,
215, [116833].
https://doi.org/10.1016/j.neuroimage.2020.116833
Quiroga Martinez, D. R., Hansen, N. C., Højlund, A., Pearce, M., Brattico, E. & Vuust, P. (2020).
Musical prediction error responses similarly reduced by predictive uncertainty in musicians and non-musicians.
European Journal of Neuroscience,
51(11), 2250-2269.
https://doi.org/10.1111/ejn.14667
Alonso Martínez, S., Marsman, J. B. C.
, Kringelbach, M. L., Deco, G. & ter Horst, G. J. (2020).
Reduced spatiotemporal brain dynamics are associated with increased depressive symptoms after a relationship breakup.
NeuroImage: Clinical,
27, [102299].
https://doi.org/10.1016/j.nicl.2020.102299
Jespersen, K. V., Stevner, A., Fernandes, H., Sørensen, S. D., Van Someren, E.
, Kringelbach, M. L. & Vuust, P. (2020).
Reduced structural connectivity in Insomnia Disorder.
Journal of Sleep Research,
29(1), [e12901].
https://doi.org/10.1111/jsr.12901
Kaasgaard, M., Rasmussen, D. B.
, Ottesen, A. L., Vuust, P.
, Hilberg, O. & Bødtger, U. (2020).
Sing-a-Lung: Group singing as training modality in pulmonary rehabilitation for patients with Chronic Obstructive Pulmonary Disease (COPD): A multicenter, cluster-randomised, non-inferiority, controlled trial.
European Respiratory Journal,
56(Suppl 64), 4663.
https://doi.org/10.1183/13993003.congress-2020.4663
Petersen, B., Andersen, A. S., Trusbak Haumann, N., Højlund, A., Dietz, M., Michel, F., Kamaric Riis, S.
, Brattico, E. & Vuust, P. (2020).
The CI MuMuFe: A New MMN Paradigm for Measuring Music Discrimination in Electric Hearing.
Frontiers in Neuroscience,
14, [2].
https://doi.org/10.3389/fnins.2020.00002
Stark, E. A.
, Cabral, J., Riem, M. M. E., Van IJzendoorn, M. H., Stein, A.
& Kringelbach, M. L. (2020).
The Power of Smiling: The Adult Brain Networks Underlying Learned Infant Emotionality.
Cerebral cortex (New York, N.Y. : 1991),
30(4), 2019-2029.
https://doi.org/10.1093/cercor/bhz219
Toiviainen, P., Burunat, I.
, Brattico, E., Vuust, P. & Alluri, V. (2020).
The chronnectome of musical beat.
NeuroImage,
216, [116191].
https://doi.org/10.1016/j.neuroimage.2019.116191
Fasano, M. C., Cabral, J., Stevner, A., Vuust, P., Cantou, P., Brattico, E. & Kringelbach, M. L. (2020).
The early adolescent brain on music: analysis of functional dynamics reveals engagement of orbitofrontal cortex reward system. bioRxiv.
https://doi.org/10.1101/2020.06.18.148072